Search Results - "Mota, J. F. C."

D-ADMM: A Communication-Efficient Distributed Algorithm for Separable Optimization by Mota, J. F. C., Xavier, J. M. F., Aguiar, P. M. Q., Puschel, M.

“…We propose a distributed algorithm, named Distributed Alternating Direction Method of Multipliers (D-ADMM), for solving separable optimization problems in…”
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Distributed Basis Pursuit by Mota, J. F. C., Xavier, J. M. F., Aguiar, P. M. Q., Puschel, M.

“…We propose a distributed algorithm for solving the optimization problem Basis Pursuit (BP). BP finds the least ℓ 1 -norm solution of the underdetermined linear…”
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D-ADMM: A distributed algorithm for compressed sensing and other separable optimization problems by Mota, J. F. C., Xavier, J. M. F., Aguiar, P. M. Q., Puschel, M.

“…We propose a distributed, decentralized algorithm for solving separable optimization problems over a connected network of compute nodes. In a separable…”
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Distributed ADMM for model predictive control and congestion control by Mota, J. F. C., Xavier, J. M. F., Aguiar, P. M. Q., Puschel, M.

“…Many problems in control can be modeled as an optimization problem over a network of nodes. Solving them with distributed algorithms provides advantages over…”
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ADMM for consensus on colored networks by Mota, J. F. C., Xavier, J. M. F., Aguiar, P. M. Q., Puschel, M.

“…We propose a novel distributed algorithm for one of the most fundamental problems in networks: the average consensus. We view the average consensus as an…”
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